Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

981
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
981

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Conserved machinery, divergent functions: evolutionary plasticity of the STK36/ULK4 kinase complex in ciliogenesis and signaling.

Seminars in cell & developmental biology·2026
Same author

Proteomics-guided insights into the antibiofilm and antivirulence action of 2-hydroxy-4-methoxybenzaldehyde against Listeria monocytogenes.

Food research international (Ottawa, Ont.)·2026
Same author

Hyperpolarized <sup>129</sup>Xe MRI Features Associated with Interstitial Lung Disease Identified Using an Interpretable Diagnostic Algorithm.

Academic radiology·2026
Same author

Short-Form Video Addiction and Depression in Medical Students: A Serial Mediation Model of Problem-Solving Ability and Meaning in Life.

Cyberpsychology, behavior and social networking·2026
Same author

Correcting <sup>129</sup>Xe Gas Exchange MRI for Incidental Gas-Phase Excitation-Comparing Approaches, and Identifying Acceptable Thresholds for Reliable Quantification.

Magnetic resonance in medicine·2026
Same author

<i>Blastocystis</i> sp. induces neurocognitive deficits in mice via p38 MAPK-mediated downregulation of NR4A1.

Gut microbes·2026

Related Experiment Video

Updated: Apr 23, 2026

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI
09:08

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI

Published on: November 21, 2023

1.6K

Extending semiautomatic ventilation defect analysis for hyperpolarized (129)Xe ventilation MRI.

Mu He1, S Sivaram Kaushik2, Scott H Robertson3

  • 1Center for In Vivo Microscopy, Duke University Medical Center, Durham, North Carolina.

Academic Radiology
|September 30, 2014
PubMed
Summary

A new linear-binning method accurately quantifies hyperpolarized (129)Xe MRI ventilation defect percentage (VDP), reducing operator dependence and improving visualization for lung imaging analysis.

Keywords:
Hyperpolarized (129)Xe MRIimage registrationlung segmentationventilation defect analysis

More Related Videos

Author Spotlight: Advancing Lung Disease Research with Free-Breathing Hyperpolarized Xenon-129 MRI
08:23

Author Spotlight: Advancing Lung Disease Research with Free-Breathing Hyperpolarized Xenon-129 MRI

Published on: November 10, 2023

1.2K
Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
09:55

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

1.9K

Related Experiment Videos

Last Updated: Apr 23, 2026

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI
09:08

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI

Published on: November 21, 2023

1.6K
Author Spotlight: Advancing Lung Disease Research with Free-Breathing Hyperpolarized Xenon-129 MRI
08:23

Author Spotlight: Advancing Lung Disease Research with Free-Breathing Hyperpolarized Xenon-129 MRI

Published on: November 10, 2023

1.2K
Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
09:55

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

1.9K

Area of Science:

  • Medical Imaging
  • Pulmonary Medicine
  • Quantitative MRI

Background:

  • Accurate quantification of ventilation defect percentage (VDP) is crucial for clinical hyperpolarized (129)Xe magnetic resonance imaging (MRI).
  • Previous semiautomated methods required significant operator input and had limitations in correcting for image artifacts and anatomical structures.

Purpose of the Study:

  • To improve the robustness and reduce operator dependence of (129)Xe MRI analysis for VDP quantification.
  • To develop a method that corrects for B1 inhomogeneity and vascular structures.
  • To extend analysis to display multiple intensity clusters for enhanced visualization.

Main Methods:

  • A new linear-binning method was developed and compared to a seeded region-growing method.
  • The linear-binning method rescales images and applies fixed thresholds to classify voxels into four intensity clusters.
  • The methods were applied to 24 subjects, including patients with chronic obstructive pulmonary disease (COPD) and healthy controls.

Main Results:

  • Linear-binning demonstrated a faster, more reproducible workflow and accounted for vasculature, enabling analysis of additional lung volume.
  • VDP values obtained by linear-binning strongly correlated with expert reader scores (R² = 0.93) with less systematic bias.
  • Linear-binning maps effectively depicted low and high-intensity regions, potentially aiding in COPD phenotyping.

Conclusions:

  • Corrected linear-binning offers a robust method for quantifying (129)Xe ventilation images.
  • The VDP values derived from linear-binning are comparable to expert reader scores.
  • This method effectively utilizes the full dynamic range of the images to display multiple intensity clusters.